Papers
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Visual Data Diagnosis and Debiasing with Concept Graphs Rwiddhi Chakraborty, Yinong Wang, Jialu Gao, Runkai Zheng, Cheng Zhang, Fernando De la Torre Advances in Neural Information Processing Systems (NeurIPS), 2024 Paper arXiv Project Code |
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FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Images Cheng Zhang, Yuanhao Wang, Francisco Vicente, Chenglei Wu, Jinlong Yang, Thabo Beeler, Fernando De la Torre ACM SIGGRPAH Asia, 2024 Paper arXiv Project Code |
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Generalizable Human Gaussians for Sparse View Synthesis Youngjoong Kwon, Baole Fang, Yixing Lu, Haoye Dong, Cheng Zhang, Francisco Vicente, Albert Mosella-Montoro, Jianjin Xu, Shingo Takagi, Daeil Kim, Aayush Prakash, Fernando De la Torre European Conference on Computer Vision (ECCV), 2024 Paper arXiv Project Code |
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An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation Zhiyu Tan, Mengping Yang, Luozheng Qin, Hao Yang, Ye Qian, Qiang Zhou, Cheng Zhang, Hao Li European Conference on Computer Vision (ECCV), 2024 Paper arXiv Project Code |
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Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation Junyan Wang, Zhenhong Sun, Zhiyu Tan, Xuanbai Chen, Weihua Chen, Hao Li, Cheng Zhang, Yang Song Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Paper arXiv Project |
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ITI-GEN: Inclusive Text-to-Image Generation Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre International Conference on Computer Vision (ICCV), 2023 (Oral Presentation, Best Paper Finalist) Paper arXiv Project Code |
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Learning with Free Object Segments for Long-Tailed Instance Segmentation Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao European Conference on Computer Vision (ECCV), 2022 Paper arXiv |
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Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng*, Shaofeng Li*, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral Presentation) Paper arXiv |
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On Model Calibration for Long-Tailed Object Detection and Instance Segmentation Tai-Yu Pan*, Cheng Zhang*, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao Advances in Neural Information Processing Systems (NeurIPS), 2021 Paper arXiv Code |
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Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering Jihyung Kil, Cheng Zhang, Dong Xuan, Wei-Lun Chao Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Paper arXiv Code |
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MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection Cheng Zhang*, Tai-Yu Pan*, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao International Conference on Computer Vision (ICCV), 2021 Paper arXiv Code Poster |
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WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic Cheng Zhang, Yunze Pan, Yunqi Zhang, Adam C Champion, Zhaohui Shen, Dong Xuan, Zhiqiang Lin, Ness Shroff Elsevier High-Confidence Computing Journal (HCC), 2021 Paper arXiv |
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Thoracic Disease Identification and Localization using Distance Learning and Region Verification Cheng Zhang, Francine Chen, Yan-Ying Chen British Machine Vision Conference (BMVC), 2020 Paper arXiv Talk Patent (Filed by Fujifilm in US, JP, and CN) |
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An Empirical Study on Leveraging Scene Graphs for Visual Question Answering Cheng Zhang, Wei-Lun Chao, Dong Xuan British Machine Vision Conference (BMVC), 2019 (Oral Presentation) Paper arXiv Poster Talk |
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MV-Sports: A Motion and Vision Sensor Integration-Based Sports Analysis System Cheng Zhang, Fan Yang, Gang Li, Qiang Zhai, Yi Jiang, Dong Xuan International Conference on Computer Communications (INFOCOM), 2018 Paper Demo |